Revenue Cycle AI Architect

Methodist Health System - Dallas, TX

Full-time - Mid Level

Dallas, TX

11-50 employees

Hospitals

About the position

The Revenue Cycle AI Architect at Methodist Health System is responsible for designing and implementing automation solutions using UiPath technology to enhance business processes. This role involves collaborating with clients, providing technical leadership, and ensuring successful project delivery while continuously seeking opportunities for improvement in automation practices.

Responsibilities

• Collaborate with clients to understand their business processes and automation needs.
• Design end-to-end automation solutions using UiPath's suite of products.
• Provide technical leadership and guidance to project teams throughout the automation lifecycle.
• Mentor junior team members and ensure best practices are followed in solution development.
• Lead the implementation of automation solutions, including configuring workflows and integrating with existing systems.
• Engage with stakeholders at all levels to gather requirements and provide project updates.
• Identify opportunities for process improvement and optimization within existing automation solutions.

Requirements

• 3-5 years of experience working with UiPath technology, including UiPath Studio and Orchestrator.
• Strong understanding of RPA concepts and principles.
• Proficiency in programming languages such as C#, VB.NET, or Java.
• Experience with web services, APIs, databases, and other integration technologies.
• UiPath certifications such as UiPath Certified Advanced RPA Developer or UiPath Certified Solution Architect are highly desirable.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Demonstrated ability to work effectively in a team environment.

Nice-to-haves

• Bachelor's degree in Computer Science, Engineering, or a related field is preferred.

Benefits

• Health insurance
• 401k
• Paid holidays
• Professional development opportunities
• Flexible scheduling